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Snowflake

Software Engineer Intern (Core Engineering) - Summer 2025

Sorry, this job was removed at 03:13 p.m. (PST) on Thursday, May 08, 2025
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In-Office
Menlo Park, CA, USA
In-Office
Menlo Park, CA, USA

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Build the future of the AI Data Cloud. Join the Snowflake team.

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more.

We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake.

WHAT WE OFFER:

  • Paid, full-time internships in the heart of the software industry

  • Post-internship career opportunities (full-time and/or additional internships)

  • Exposure to a fast-paced, fun and inclusive culture

  • A chance to work with world-class experts on challenging projects

  • Opportunity to provide meaningful contributions to a real system used by customers

  • High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation

  • Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more

  • When return to office in effect, catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more

WHAT WE EXPECT:

  • Must be actively enrolled in an accredited college/university program during the time of the internship

  • Desired class level: 3rd/4th year Undergraduates, Masters, or PhD

  • Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field

  • Required coursework: algorithms, data structures, Object-oriented programming

  • Recommended coursework: cloud computing, compilers, database systems, distributed systems, operating systems, cryptography & authentication, networking

  • Bonus experience: research or publications in databases or distributed systems, and contributions to open source 

  • Experience working with big data (engineering / processing) and data migration

  • When: Summer (May - August) 

  • Duration: 12-16 weeks recommended, more than 16 weeks also encouraged (12 month maximum)

  • Excellent programming skills in C++ or Java 

  • Preferred knowledge of C++20 or C++17, Java 20 or Java 17

  • Knowledge of data structures and algorithms

  • Systems programming skills including multi-threading, concurrency, etc.

  • Strong problem solving and ability to learn quickly in a dynamic environment

  • Experience with working as a part of a team

  • Dedication and passion for technology 

What You Will Learn/Gain:

  • How to build enterprise grade, reliable, and trustworthy software/services

  • Exposure to SQL or other database technologies (e.g., Spark, Hadoop)

  • Understanding of database internals, large-scale data processing, transaction processing, distributed systems, and data warehouse design

  • Implementation, testing of features in query compilation, compiler design, query execution

  • Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular

  • Learning about cutting edge database technology and research

POSSIBLE TEAMS/WORK FOCUS AREAS:

  • Various areas of our Product Platform (Billing & Monetization, Application Collaboration Frameworks, Database Security, Privacy, and Governance, etc..), our Data Platform (Data Pipelines & Streaming, Metadata, Storage & Data Lake, etc..), and our Service Runtime (Inc’l Snowpark & SnowPandas, Container Services, etc..)

  • High performance large-scale data processing

  • Large-scale distributed systems

  • Software-as-a-Service platform

  • Software frameworks for stability and performance testing  

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Snowflake Dublin, California, USA Office

4140 Dublin Blvd., Dublin, CA, United States, 94568

Snowflake Menlo Park, California, USA Office

135 Constitution Dr, Menlo Park, CA, United States, 94025

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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